Postdoctoral Fellowships in Artificial Intelligence: The University of Toronto is offering two postdoctoral fellowships in artificial intelligence, data science, geospatial, and mathematical modeling of methane emissions. This research is part of a collaborative NSERC-sponsored project aimed at improving the accuracy of detecting, quantifying, and localizing methane emissions from Alberta Oil Sands. Successful candidates will join the Artificial Intelligence and Mathematical Modelling Lab (AIMMLab) directed by Prof. Jude Dzevela Kong.
Postdoctoral Fellowships in Artificial Intelligence, Data Science, Geospatial and Mathematical Modelling of Methane Emissions
Designation: Postdoctoral Fellow
Research Area: Artificial Intelligence, Data Science, Geospatial and Mathematical Modelling of Methane Emissions
Location: University of Toronto, Canada
Eligibility/Qualification:
- Research experience with artificial intelligence, data science, and/or mathematical models.
- Ability to collect and analyze data, interpret and present results to a high standard using specialized research techniques.
- Ability to translate scientific publications and patents into practical insights for research and strategic decision-making.
- Good knowledge of Python/MATLAB/R programming languages.
- Excellent verbal and written communication skills.
- Experience in communicating research findings to a non-specialist audience.
- Ability to work independently and as part of a larger interdisciplinary research team.
- PhD in engineering, mathematics, statistics, physics, computer science, or a similarly quantitative discipline obtained within 5 years from hiring.
Job Description: The successful candidates will design and deploy artificial intelligence, data science, geospatial, and mathematical methodologies to:
- Mitigate fugitive unburned methane.
- Improve the accuracy of detection, quantification, and localization of methane emissions in the oil and gas sector.
- Reduce uncertainties in methane emissions measurement and quantification.
- Enhance approaches for timely reporting of emissions data to track the performance of producers’ emission reduction initiatives and provide actionable information to stakeholders. The exact projects will be determined in discussion with the team, considering the applicants’ interests and experience.
How to Apply: Interested candidates should contact Prof. Jude Dzevela Kong (jude.kong@utoronto.ca) with a CV, statement of interest, and contact details of two referees. The positions will remain open until filled, with contracts starting as soon as possible.
Last Date for Apply: July 31, 2024, or until filled.
Supervisor: Jude Kong
Term: One year with the possibility of extension
FTE: The normal hours of work are 40 hours per week for a full-time postdoctoral fellow, recognizing that the needs of the employee’s research and training and the needs of the supervisor’s research program may require flexibility in the performance of the employee’s duties and hours of work.
Salary: At least $50,000 + benefits
